6SIGMA工具 Minitab Applications.ppt

1,Minitab在6的應用例,天马行空官方博客：,2,統計與6,看似雜亂無章的數據，經由統計的鞭撻處理，可以使其轉化為活生生的資訊。看似山窮水盡的難題，經由6的斧鑿勢導，可以開展出柳暗花明的解決方案。,林財教TylorLin,天马行空官方博客：,3,Minitab與6,因為與Minitab的結合，使6的斧鑿勢導成為鬼斧神工，如虎之添翼。,林財教TylorLin,4,6的內含,林財教TylorLin,5,6s的DMAIC過程,D-定義(Define)M-量測(Measure)A-分析(Analyze)I-改善(Improve)C-管制(Control),6,DMAIC方法與工具,定義,分析,改善,管制,過程圖因果圖/矩陣失效模式量具R&R研究能力研究其他,圖形分析多變量分析假設檢定變異數分析其他,實驗設計:全因階2K因階部分因階田口法Shainin法其他,管制計劃SPC防呆自動管制其他,量測,$!,顧客需求Y=f(x)缺點衡量尺規CTQ,7,Minitab在6的應用例,定義,分析,改善,管制,過程圖因果圖/矩陣失效模式量具R&R研究能力研究其他,圖形分析多變量分析假設檢定變異數分析其他,實驗設計:全因階2K因階部分因階田口法Shainin法其他,管制計劃SPC防呆自動管制其他,量測,$!,顧客需求Y=f(x)缺點衡量尺規CTQ,8,GageR&R分析,9,過程能力分析,10,走勢圖,11,箱形圖,12,Multi-VariChart,13,假設檢定,One-SampleT:DiameterTestofmu=10vsmunot=10VariableNMeanStDevSEMeanDiameter1110.00580.00780.0024Variable95.0%CITPDiameter(10.0005,10.0110)2.450.034,14,全因階實驗設計效應Pareto,15,全因階實驗設計,FractionalFactorialFit:LengthversusGap,Force,LifeEstimatedEffectsandCoefficientsforLength(codedunits)TermEffectCoefSECoefTPConstant1.593750.01308121.870.000Gap0.792500.396250.0130830.300.000Force-0.03583-0.017920.01308-1.370.190Life-0.01250-0.006250.01308-0.480.639Gap*Force0.025830.012920.013080.990.338Gap*Life-0.02083-0.010420.01308-0.800.437Force*Life0.014170.007080.013080.540.596Gap*Force*Life0.109170.054580.013084.170.001AnalysisofVarianceforLength(codedunits)SourceDFSeqSSAdjSSAdjMSFPMainEffects33.776983.776981.25899306.760.0002-WayInteractions30.007810.007810.002600.630.6043-WayInteractions10.071500.071500.0715017.420.001ResidualError160.065670.065670.00410PureError160.065670.065670.00410Total233.92196,16,全因階實驗設計最終模型,FractionalFactorialFit:LengthversusGapEstimatedEffectsandCoefficientsforLength(codedunits)TermEffectCoefSECoefTPConstant1.59380.0170693.430.000Gap0.79250.39630.0170623.230.000AnalysisofVarianceforLength(codedunits)SourceDFSeqSSAdjSSAdjMSFPMainEffects13.76833.76833.76834539.650.000ResidualError220.15360.15360.00698PureError220.15360.15360.00698T